Anna Pedrola
apedrola@vhio.net
Current position
- Head of the Data Engineering for Research Unit at VHIO
Academic Qualifications
- 2019 – Master’s in Bioinformatics and Biostatistics. Universitat Oberta de Catalunya, Spain.
- 2017 – Bachelor’s Degree in Biomedical Engineering. Universitat Politècnica de Catalunya, Spain.
Research Areas
- Advance institutional clinical data standardization through expansion of the OMOP common data model and FAIR-aligned data governance practices.
- Consolidate and expand the VHIO Data Lake (VHIO-Lake) as a secure, interoperable environment integrating clinical, molecular, imaging, pharmacy, and clinical trial datasets.
- Strengthen data interoperability across institutional systems through scalable ETL pipelines, structured databases, and harmonized digital platforms.
- Enhance advanced data exploration and visualization through integrative tools (e.g., cBioPortal, OMERO) to support translational and precision oncology research.
- Expand AI-driven initiatives, including LLM-based structuring of clinical notes and intelligent tools for clinical trial patient matching.
- Develop tailored digital solutions to support research data capture, patient tracking, and project-specific institutional needs.
Projects
- SYNTHIA: Synthetic Data Generation Framework for Integrated Validation of Use Cases and AI Healthcare Applications. Funded by the European Commission. 01/09/2024-31/08/2029. PI: Rodrigo Dienstmann.
- CCE_DART: Building Data Rich Clinical Trials. CCE_DART is an innovative EU- funded project dedicated to deliver novel methods for the design and implementation of newer, more efficient and effective clinical trials in oncology.
- Cancer Core Europe: Seven Leading Cancer Centres Improve Cancer Health in Europe.
- Historia clínica Inteligente: Transformando Notas Clínicas en Datos Estructurado.
- AI4Lungs: AI-Based Personalised Care for Respiratory Disease using Multi-Modal Data in Patient Stratification
- EUCANCan: a federated network of aligned and interoperable infrastructures for the homogeneous analysis, management and sharing of genomic oncology data for Personalized Medicine.
- UpSMART Accelerator Management Team – SMART Experimental Cancer Medicine Trials eNABLED.
- American Association for Cancer Research’s (AACR) Genomics Evidence Neoplasia Information Exchange (GENIE) project.
- PROLoNg: Phase III randomized study evaluating Pembrolizumab combined with radiotherapy for oligometastatic squamous cell carcinoma of the head and neck.
- REDEcon: Strategic Advisory Network on Cancer Policies (Red ECON), aims to bridge the scientific-health ecosystem and Spanish authorities by developing national data frameworks, R&D&I strategies, and recommendations to optimize patient care and research integration.
- EUnetCCC: European Network of Cancer Centres (EUnetCCC), aiming to foster collaboration among leading cancer centers across Europe to harmonize data sharing, promote best practices, and support multicenter research initiatives in oncology.
Scientific Publications
- Pedrola A, Franch-Expósito S, Lahoz S, Esteban-Fabró R, Dienstmann R, Bassaganyas L, et al. PCIG: a web-based application to explore immune-genomics interactions across cancer types. Bioinformatics. 2022 Apr 15;38(8):2374–2376.
- Matos I, Villacampa G, Hierro C, Martin-Liberal J, Berché R, Pedrola A, et al. Phase I prognostic online (PIPO): A web tool to improve patient selection for oncology early phase clinical trials. Eur J Cancer. 2021 Sep;155:168–78.
- Cedres, S., Assaf, J. D., Iranzo, P., Callejo, A., Pardo, N., Navarro, A., Martinez-Marti, A., Marmolejo, D., Rezqallah, A., Carbonell, C., Frigola, J., Amat, R., Pedrola, A., Dienstmann, R., & Felip, E. (2021). Efficacy of chemotherapy for malignant pleural mesothelioma according to histology in a real-world cohort. Scientific reports, 11(1), 21357.
- Mirallas, O., Martin-Cullell, B., Navarro, V., Vega, K.S., Recuero-Borau, J., Gómez- Puerto, D., López-Valbuena, D., de Torres, C.S., Andurell, L., Pedrola, A. and Berché, R., 2024. Development of a prognostic model to predict 90-day mortality in hospitalised cancer patients (PROMISE tool): a prospective observational study. The Lancet Regional Health–Europe.
